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Chirplet transform

Known as: Chirplet, Chirplet transforms 
In signal processing, the chirplet transform is an inner product of an input signal with a family of analysis primitives called chirplets. Similar to… 
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Related topics

Related topics

17 relations
ChirpCurveletFourier analysisFractional Fourier transform

Broader (2)

Image processingTime–frequency analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
An animation-and-chirplet based approach to intruder classification using PIR sensing
The development of a Passive Infra-Red (PIR) sensing based intrusion detection system is presented here having the ability to… 
2014
2014
Transient detection of close components through the chirplet transform: Rotor faults in inverter-fed induction motors
Up to now, detection of rotor faults in inverter-fed induction motors has received very little attention. This fault is difficult… 
2012
2012
Serial combination of multiple classifiers for automatic blue whale calls recognition
2008
2008
Gravitational wave detection using multiscale chirplets
A generic ‘chirp’ of the form h(t) = A(t)cos ϕ(t) can be closely approximated by a connected set of multiscale chirplets with… 
2007
2007
New Approaches for Chirplet Approximation
This correspondence proposes efficient algorithms for approximating complex-valued and real-valued signals as a weighted sum of… 
2004
2004
Matching-pursuit based analysis of fluctuating scatterers in polarimetric SAR images
This paper addresses the problem of moving and nonstationary objects analysis in SAR images. A method, based on Matching Pursuit… 
2003
2003
Comparing Gaussian and chirplet dictionaries for time-frequency analysis using matching pursuit decomposition
As convergence of the matching pursuit (MP) decomposition is not dependent upon the type of atom used, we are free to assume… 
2003
2003
Maneuvering target detection in over-the-horizon radar by using adaptive chirplet transform and subspace clutter rejection
In over-the-horizon radar (OTHR) target detection, the signal-to-clutter ratio (SCR) is very low, typically from -50 dB to -60 dB… 
1999
1999
Aseismic designs based on artificial simulations
It is commonly believed that the time-varying frequency characteristics are important for the inelastic response of structures… 
Review
1998
Review
1998
GABOR,WAVELET AND CHIRPLET TRANSFORMS IN THE STUDY OF PSEUDODIFFERENTIAL OPERATORS(Structure of Solutions for Partial Differential Equations)
Gabor transforms and Wilson bases are reviewed in the study of the boundedness of pseudodifferential operators in modulation… 
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